| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A deep learning-based framework for detecting COVID-19 patients using chest X-rays
|
Asif, Sohaib
|
|
|
28 |
4 |
p. 1495-1513
|
artikel
|
| 2 |
AI inspired EEG-based spatial feature selection method using multivariate empirical mode decomposition for emotion classification
|
Asghar, Muhammad Adeel
|
|
|
28 |
4 |
p. 1275-1288
|
artikel
|
| 3 |
A light-weight convolutional Neural Network Architecture for classification of COVID-19 chest X-Ray images
|
Masud, Mehedi
|
|
|
28 |
4 |
p. 1165-1174
|
artikel
|
| 4 |
An explainable stacked ensemble of deep learning models for improved melanoma skin cancer detection
|
Shorfuzzaman, Mohammad
|
|
|
28 |
4 |
p. 1309-1323
|
artikel
|
| 5 |
A novel method for ECG signal classification via one-dimensional convolutional neural network
|
Hua, Xuan
|
|
|
28 |
4 |
p. 1387-1399
|
artikel
|
| 6 |
Applying deep learning-based multi-modal for detection of coronavirus
|
Rani, Geeta
|
|
|
28 |
4 |
p. 1251-1262
|
artikel
|
| 7 |
Automatic segmentation of melanoma skin cancer using transfer learning and fine-tuning
|
Araújo, Rafael Luz
|
|
|
28 |
4 |
p. 1239-1250
|
artikel
|
| 8 |
Classification of COVID-19 individuals using adaptive neuro-fuzzy inference system
|
Iwendi, Celestine
|
|
|
28 |
4 |
p. 1223-1237
|
artikel
|
| 9 |
Deep learning and evolutionary intelligence with fusion-based feature extraction for detection of COVID-19 from chest X-ray images
|
Shankar, K.
|
|
|
28 |
4 |
p. 1175-1187
|
artikel
|
| 10 |
Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images
|
Ravi, Vinayakumar
|
|
|
28 |
4 |
p. 1401-1415
|
artikel
|
| 11 |
Deep learning in multimedia healthcare applications: a review
|
Tobón, Diana P.
|
|
|
28 |
4 |
p. 1465-1479
|
artikel
|
| 12 |
Deep learning on digital mammography for expert-level diagnosis accuracy in breast cancer detection
|
Qu, Jinrong
|
|
|
28 |
4 |
p. 1263-1274
|
artikel
|
| 13 |
DL-CNN-based approach with image processing techniques for diagnosis of retinal diseases
|
Tayal, Akash
|
|
|
28 |
4 |
p. 1417-1438
|
artikel
|
| 14 |
Floor of log: a novel intelligent algorithm for 3D lung segmentation in computer tomography images
|
Peixoto, Solon Alves
|
|
|
28 |
4 |
p. 1151-1163
|
artikel
|
| 15 |
From coarse to fine: multi-level feature fusion network for fine-grained image retrieval
|
Wang, Shijie
|
|
|
28 |
4 |
p. 1515-1528
|
artikel
|
| 16 |
Fusion of AI techniques to tackle COVID-19 pandemic: models, incidence rates, and future trends
|
Shah, Het
|
|
|
28 |
4 |
p. 1189-1222
|
artikel
|
| 17 |
Intelligent multimodal medical image fusion with deep guided filtering
|
Rajalingam, B.
|
|
|
28 |
4 |
p. 1449-1463
|
artikel
|
| 18 |
Leveraging big data analytics in healthcare enhancement: trends, challenges and opportunities
|
Rehman, Arshia
|
|
|
28 |
4 |
p. 1339-1371
|
artikel
|
| 19 |
Multimodal biometric authentication based on deep fusion of electrocardiogram (ECG) and finger vein
|
El-Rahiem, Basma Abd
|
|
|
28 |
4 |
p. 1325-1337
|
artikel
|
| 20 |
Myocardial infarction detection based on deep neural network on imbalanced data
|
Hammad, Mohamed
|
|
|
28 |
4 |
p. 1373-1385
|
artikel
|
| 21 |
Predicting skeleton trajectories using a Skeleton-Transformer for video anomaly detection
|
Pang, Wenfeng
|
|
|
28 |
4 |
p. 1481-1494
|
artikel
|
| 22 |
Prediction model using SMOTE, genetic algorithm and decision tree (PMSGD) for classification of diabetes mellitus
|
Azad, Chandrashekhar
|
|
|
28 |
4 |
p. 1289-1307
|
artikel
|
| 23 |
Self-assessment and deep learning-based coronavirus detection and medical diagnosis systems for healthcare
|
Qureshi, Kashif Naseer
|
|
|
28 |
4 |
p. 1439-1448
|
artikel
|
| 24 |
Spatial–temporal correlations learning and action-background jointed attention for weakly-supervised temporal action localization
|
Xia, Huifen
|
|
|
28 |
4 |
p. 1529-1541
|
artikel
|
| 25 |
Special issue deep learning for multimedia healthcare
|
Hossain, M. Shamim
|
|
|
28 |
4 |
p. 1147-1150
|
artikel
|
Tijdschrift beschrijving